tf.contrib.distributions.TransformedDistribution.prob(value, name='prob') Probability density/mass function (depending on

tf.contrib.distributions.DirichletMultinomial.alpha_sum Summation of alpha parameter.

tf.contrib.distributions.MultivariateNormalCholesky.sample(sample_shape=(), seed=None, name='sample') Generate samples of the

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.variance(name='variance') Variance.

tf.contrib.distributions.Bernoulli.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.std(name='std') Standard deviation.

tf.contrib.distributions.ExponentialWithSoftplusLam.lam

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_event_shape() Shape of a single sample from a single batch as a

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.pdf(value, name='pdf') Probability density function.

tf.contrib.distributions.Uniform.is_reparameterized